Accounting and business students’ approaches to learning: A longitudinal study

This study reports the results of an investigation into the learning approaches of undergraduate accounting and business students from three universities in Ireland who were exposed to a learning environment, namely the case study method, which aimed to encourage a deep approach to learning. In order to assess the effectiveness of the intervention, the ASSIST research instrument was used to investigate changes in students’ approaches to learning over time. Consistent with previous research, this study considers whether gender is related to students’ approaches to learning over time and if there are differences between students majoring in accounting or business in their approaches to learning. The results of the study indicate that the case study intervention was successful in some respects. However, contrary to expectations, an overall statistically significant increase in students’ surface approach to learning was found. Additionally, it is reported that changes in students’ approaches to learning over time are not associated with gender or degree program. The results of this study offer insights to accounting educators developing educational interventions to encourage deep approaches to learning.     

Flipped v’s traditional teaching perspectives in a first year accounting unit: an action research study

With the need to move accounting students towards deeper learning approaches and understandings, this first cycle of an action research study sought to determine the student’s perspective of the flipped learning approach. With this learning approach gaining momentum in recent times, this study focuses on a first-year introductory accounting class in an undergraduate business degree. In making changes to the learning environment, we survey students and find that there are significant differences between the flexible student, that is, students that are already exposed in a limited way to this approach, and the face-to-face student. Results indicate further action research is required if the flipped learning approach is to be considered a serious teaching and learning contender for the first-year student.     

Editorial: Special issue on tax education

In accounting education, most Student Approaches to Learning (SAL) research has investigated the relationship between students' performance and their approaches to learning. Relatively limited research has been conducted on how assessment practices influence the quality of students' learning from the students' perspective. This paper seeks to address this gap in the accounting education literature. The research is centred on a large Australian undergraduate accounting degree delivered in Australia, Singapore and Hong Kong. Focus group interviews were conducted with students across the three locations. The research results reveal that: (1) it is the English competency of students that has the most important impact on students' completion of set assessment tasks and thus their approach to learning; (2) it is the way in which assessment is designed and written and the way lecturers convey their expectations about how assessment will be undertaken that is crucial to how students from various countries perform in that assessment; and (3) students' approaches to assessment and their preferred assessment tasks are not homogeneously based on cultural background.     

Relationships between Vocational Interests and Learning Approaches to Advance the Quality of Student Learning in Accounting

Abstract

This study investigates the influence of vocational interests on the learning approach of accounting students at the undergraduate level. It brings together two theoretical models: vocational interests and approaches to learning, to investigate student learning in the accounting discipline. The research focus is supported by more general findings from the education literature which suggest that interest-oriented learning leads to superior approaches to learning. The research was tested using 917 tertiary accounting students across two universities. The associations between vocational interests and learning approaches provide support for the theoretical model linking vocational interests (e.g. conventional) with deep learning approaches in a tertiary accounting environment. There are practical implications for the teaching of accounting with particular reference to whether the current curriculum reinforces the values of those individuals with conventional interests.     

Conceptions of Learning and Approaches to Learning—A Phenomenographic Study of a Group of Overseas Accounting Students from Sri Lanka

This study explores conceptions of learning (SCL) and approaches to learning (SAL) of a group of Sri Lankan students studying accounting in an Australian university. The focus is on how cultural background and home country learning experiences shape SCL and SAL of these students. This research is based on the phenomenographic method, and semi-structured interviews are used for data collection. The results indicate that the interviewed students have lower-order conceptions of learning, and show characteristics of surface learning. Although the social approval motive was dominant in these students, it was not manifested in an achieving approach. Students in this study embrace the pedagogical tradition of the West, and engage in deep learning when they are exposed to research or practice-based assessments. Remnants from years of secondary education and aspects of a collectivist culture play a vital part in the ways in which these students perceive and approach learning. In addition, preconceptions of accounting as a vocation and a discipline strongly embedded in practice, drive learning conceptions and learning approaches.     

The relationship between motivation,learning approaches,academic performance and time spent

Previous literature calls for further investigation in terms of precedents and consequences of learning approaches (deep learning and surface learning). Motivation as precedent and time spent and academic performance as consequences are addressed in this paper. The study is administered in a first-year undergraduate course. Results show that the accounting students have a slightly higher score for deep learning compared to surface learning. Moreover, high intrinsic motivation and extrinsic motivation have a significant positive influence on deep learning. Next, deep learning leads to higher academic performance; surface learning on the other hand leads to lower academic performance. The effect of deep learning on performance still holds, when we control for time spent, gender and ability. Consequently we can conclude that a deep learning approach is much more than ‘simply’ spending a lot of time on studying.     

Perceptions of the learning context and learning approaches: Implications for quality learning outcomes in accounting

This study analyses learning approaches, course perceptions and learning outcomes of a group of second year accounting students at an Australian university using qualitative data analysis techniques. The research method involves the development of a series of matrices linking types of motives and strategies used by students in their study, together with their perceptions of the learning context associated with learning outcomes. The study focuses on assessing the links between learning approaches and a qualitative assessment of students' conceptual understanding of aspects of financial accounting studied at the undergraduate level. The results confirm how individual differences in the perceptions of the learning context relate to study motives and strategies. The findings show how different forms of memorisation relate to study strategies and how the completion of accounting tasks link to students' perceptions of course requirements. There was also some evidence that, in terms of learning outcomes, students with sophisticated levels of understanding of concepts, tended to have consistent deep and achieving approaches to learning. This result was compared with students' academic performance as a measure of learning outcome. Discrepancies between these two measures of learning outcome are highlighted in the conclusions. The findings strengthen the case for further investigation of the use of measures other than academic performance in examining relationships between learning approaches and learning outcomes.     

Analysis of the learning context, perceptions of the learning environment and approaches to learning accounting: a longitudinal study

This study investigates student approaches to learning over the 3 years of an undergraduate degree course in accounting. The objective of the study was, first, to identify changes in learning approaches over the course duration. Second, the study examined whether any changes in learning approaches were consistent with changes in the context of learning as well as students' perceptions of the teaching/learning environment. The results show that students made greater use of sophisticated learning approaches over time linked to their more favourable perceptions of the teaching/learning environment as they progressed in their course. However, there were no significant changes in learning approach attributable to the learning context. Implications for accounting educators drawn from the findings are discussed.     

Students' Perceptions of the Introduction of a Blended Learning Environment: An Exploratory Case Study

Virtual Learning Environments (VLE) provide the opportunity to deliver blended learning approaches that combine mixes of Information and Communications Technology (ICT) with various delivery methods and media. In 2008 and 2009, the University of Winchester in the UK redesigned a variety of accounting and financial management modules for presentation in a blended learning environment. An exploratory, qualitative case study investigated students' perceptions of the new approach. Through focus groups, students reported favourably on the blended learning approach and the views of students correlated with previous research, although there were some contrary findings. Focus groups raised issues concerning students' expectations, competence and engagement. Resources and institutional practices were identified as factors in students' attitudes towards blended learning. Issues about communication, student interaction and collaboration also emerged. Finally, some practical lessons from this case study are proposed.     

Predicting industry sectors from financial statements: An illustration of machine learning in accounting research

The main aim and contribution of this study is to outline and demonstrate the usefulness of a machine learning approach to address prediction-based research problems in accounting research, and to contrast this approach with a more conventional explanation-based approach familiar to most accounting scholars. To illustrate the approach, the study applies machine learning to predict a firm's industry sector using the firm's publicly available financial statement data. The results show that an algorithm can predict an industry sector with just this data to a high degree of accuracy, especially if a non-linear classifier is used instead of a linear classifier. Additionally, the algorithms were able to carry out an industry-firm pairing exercise taken from introductory accounting text books and MBA cases, with predicted answers showing a high degree of accuracy in carrying out this exercise. The study shows how machine learning approaches and algorithms can be valuable to a range of accounting domains where prediction rather than explanation of the dependent variable is the main area of concern.     

Deep and surface approaches to learning within introductory accounting: a phenomenographic study

This paper reports the findings of a phenomenographic research study which sought to identify students' approaches to learning introductory accounting and their conceptions of accounting. The findings reveal that, in common with other disciplines, deep and surface approaches to learning can be identified. However, the main contribution of this study lies in two areas. First, it distinguishes those features that are characteristic of the deep and surface approaches within the discipline of accounting. Secondly, it identifies contextual features surrounding these approaches to learning and which are central to an understanding of them. The paper suggests how these findings can be used immediately to make changes within teaching and assessment practice through a phenomenographic pedagogy which: seeks to make students' conceptions of the subject matter explicit; provides diagnostic tools for the identification of distinctively different conceptions of the subject and approaches to learning; and addresses issues of preconceptions and relevance within teaching and assessment. The findings can also be used as the basis for further research into the identification of statistical variation in approaches to learning between students.     

A pragmatist approach to transdisciplinarity in sustainability research: From complex systems theory to reflexive science

The importance of questioning the values, background assumptions, and normative orientations shaping sustainability research has been increasingly acknowledged, particularly in the context of transdisciplinary research, which aims to integrate knowledge from various scientific and societal bodies of knowledge. Nonetheless, the concept of reflexivity underlying transdisciplinary research is not sufficiently clarified and, as a result, is hardly able to support the development of social learning and social experimentation processes needed to support sustainability transitions. In particular, the concept of reflexivity is often restricted to building social legitimacy for the results of a new kind of ‘complex systems science’, with little consideration of the role of non-scientific expertise and social innovators in the design of the research practice itself.The key hypothesis of the paper is that transdisciplinary research would benefit from adopting a pragmatist approach to reflexivity. Such an approach relates reflexivity to collective processes of problem framing and problem solving through joint experimentation and social learning that directly involve the scientific and extra-scientific expertise. To test this hypothesis, the paper proposes a framework for analysing the different types of reflexive processes that play role in transdisciplinary research. The main conclusion of the analysis is the need to combine conventional consensus-oriented deliberative approaches to reflexivity with more open-ended, action-oriented transformative approaches.     

Achievement Goal Theory: The Relationship of Accounting Students’ Goal Orientations with Self-efficacy,Anxiety, and Achievement

Abstract

Students’ goal orientations are examined using two major frameworks for learning: achievement goal theory (AGT) and students’ approaches to learning (SAL). Previous student success research is extended, by examining goal constructs from the AGT framework to determine if they help explain the learning process in accounting. Data were gathered using an established instrument and used to examine how mastery and performance goals are related to students’ academic expectations, achievement, self-efficacy, and test anxiety. Cluster analysis was used to identify four motivation groupings (multiple-goal, mastery, performance, and low motivation). Pairwise comparisons of groups, for expected grades, self-efficacy, anxiety, final exam grade, and course grade, identified differences among some of the clusters. Results suggest that a combination of mastery and performance goal motivations, rather than a singular perspective, may provide better outcomes related to course grades, while reducing dysfunctional outcomes. Based on the results, suggestions are provided to help instructors influence student success.     

Individualised interactive formative assessments to promote independent learning

Rules-based drill-and-practice questions are often used to promote learning in quantitative courses. Individualised questions are, however, more likely to encourage deep approaches to learning, especially when feedback goes beyond correct/incorrect signals. Individualised questions discourage inappropriate shortcuts, such as peers copying solutions. However, individualisation places extra work on an instructor, particularly in large classes. The objective of the paper is to promote independent learning by describing an automated approach that allows instructors to deliver individualised questions to students with minimal effort. The approach also allows students, at their own discretion, to get individualised help and feedback. Instructors that use rules-based drill-and-practice problems as part of the learning repertoire should find many opportunities to use the approach described in this article.     

One human settlement: A transdisciplinary approach to climate change adaptation research

The threat of climate change demands that human settlements adapt to unavoidable impacts. Climate change is a complex problem that requires traditional disciplines to work together to facilitate an integrated and coordinated response to its impacts. Transdisciplinary research approaches have been recognised for being well placed to aid responses to complex problems such as climate change. This paper draws on the experience of the South East Queensland Climate Adaptation Research Initiative (SEQCARI), Australia, to reflect upon the challenges involved in undertaking transdisciplinary research aimed at developing and improving a range of adaptation options for specific sectors as well as across sectors. Challenges and learning's are discussed based on the three phases of transdisciplinary research processes: problem framing and team building, co-creation of solution-oriented transferable knowledge, and (re)integration and application of created knowledge. Four key insights are then discussed to advance transdisciplinary research approaches for climate change adaptation: adoption of a dynamic learning approach such as learning-by-doing/doing-by-learning to provide sufficient flexibility and scope to navigate potential barriers and conflicts; selection of social sciences to drive integration; choice of one sector as a platform for integration; and acknowledgement of existing barriers and limitations associated with the political context in which the research takes place.     

Tackling an accounting coursework assignment - action research on the student perspective

The study focused upon first year undergraduates' experiences and perceptions of a major coursework assignment in accounting. The context was a modular programme with several hundred students from many different courses taking a common first year, first semester introductory accounting module. In the role of a reflective practitioner, the author adopted an action research approach, and gathered various forms of evidence including in-depth interviews with four students at key points during and after completion of their courseworks. The main issues highlighted were: (1) the effect which the university, as a new environment, has on learning in the early weeks of a course, and the fractured nature of learning in a semesterized course; (2) the personal strategies which students adopt for scheduling time on coursework, and the way in which this may differ from the expectations of staff; (3) the variety of learning approaches represented within the student group. These issues are reflected upon and implications for both the author's practice and for other practitioners are considered.     

Agent‐based stochastic production lines design

An artificial agent‐based approach has been developed to improve the design and control of stochastic production lines. Genetic algorithms have been used as the premier agents learning mechanism. We benchmark our agent‐based approach with other well‐studied approaches such as infinitesimal perturbation analysis and mean‐value analysis methods. The performances of our agents are comparable with other approaches; in some cases, the agent‐based approach discovers even better solutions than the so‐called ‘optimal’ solutions by other approaches. The paper is one of the series of our work on multi‐agent intelligent enterprise modeling, and it seves as one of the most fundamental building blocks for other related works. © 2000 John Wiley & Sons, Ltd.     

Teacher''s Roles & Autonomous Learning in Each Stage of Language Learning

This paper closely examines the languange learning process and characteristics ofeach stage running the whole gamut ofthis process,by which this paper moves on to the diScussion of the roles of teachers and learners,then fmally comes to a reasonable conclusion:learners and teachers play different but equally important roles in the process of language learning.The problem does not lie in reducing teachers'role to the minimum,nor in creating a learner's autonomous learning approach,but consists in clarifmg a proper roles oflearners and teachers and choosing suitable approaches in different stages oflanguage learning.Resorting to this optimized combination ofroles and approaches,the maximum output can be delivered.     

A Comparative Analysis of Inductive-Learning Algorithms

Recently there has been an increasing interest in applying inductive learning algorithms to generate rules/patterns from a given example set. While such approaches serve as an efficient way of resolving the knowledge-acquisition bottleneck, their predictive accuracy, which is the popular measure of performance, varies widely. This paper contrasts major inductive-learning algorithms and examines their performance with two performance measures: the predictive accuracy and the representation language. Experiments involved three inductive-learning algorithms and five different managerial tasks in construction project assessment and bankruptcy-prediction domains. The test results indicate that the model performance is dependent on tasks with an exception of the neural network model and that there is a an effect of group proportion in the example set used to construct the model. The neural network approach presents relatively stable predictive power across different task domains, although it is difficult to interpret its representation.     

The impact of unstructured case studies on surface learners: a study of second-year accounting students

The empirical study described here uses the R-SPQ-2F questionnaire [Biggs, J., Kember, D., & Leung, D. Y. (2001). The revised two-factor study process questionnaire: R-SPQ-2F. British Journal of Educational Psychology, 71(1), 133–149] to test deep and surface approaches to learning in a university intermediate-level accounting class that uses business cases in group presentations. Statistical testing of results for learning style before and after group presentations indicates an increase in surface learning over time, with no detectable change in deep learning style. The type of business case used has no effect, in this setting. Course grades, however, are significantly less for students who did not participate in the group presentation activity at all. The results support the claim that students focus on what is required; they may adopt a strategic approach to learning. In a similar way, accounting academics and workload models may be reacting to incentives that discourage reflective and formative feedback. If deeper approaches to learning are desirable, assessments need to reward this behaviour.